ORIGINAL RESEARCH
Generation Model of Optimal Emergency Treatment Technology for Sudden Heavy Metal Pollution Based on Group-G1 Method
Liu Ying 1  
,   Du Qianying 2  
,   Cheng Zhihui 1  
,   Chen Junwen 1  
,   Lin Zhengjiang 1  
 
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1
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China
2
Sichuan Huadi Environmental Science and Technology Co. Ltd, Chengdu, China
CORRESPONDING AUTHOR
Liu Ying   

Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, 611756, Chengdu, China
Submission date: 2021-02-05
Final revision date: 2021-04-23
Acceptance date: 2021-05-03
Online publication date: 2021-09-17
 
 
KEYWORDS
TOPICS
ABSTRACT
Heavy metals have the characteristics of high toxicity, refractory and easy enrichment, so it is necessary to quickly choose the best emergency treatment technology to deal with them after the sudden heavy metal pollution. To select and evaluate the emergency treatment technology of heavy metals, the evaluation index system of emergency treatment technology of sudden heavy metal pollution was established by selecting nine indexes from three aspects of emergency technical characteristics, emergency treatment cost and social environmental impact. The Group-G1 method based on Dempster- Shafer evidence theory was studied to establish the optimal emergency treatment technology generation model, the weight of evaluation indexes was obtained from the expert weight and G1 weight. And then the TOPSIS method was used to comprehensively evaluate the selected emergency treatment technology. Finally, the cadmium pollution incident in Longjiang River, Guangxi Province, China in 2012 was taken as an example to verify the feasibility of the model. The results show that the generation model can quickly and accurately screen out the best emergency treatment technology for sudden heavy metal pollution.
eISSN:2083-5906
ISSN:1230-1485